Study on the Web Courses Resources Recommendation System based on WP Algorithm

Abstract

Abstract-To solve the problem of low WEB course resources utilization rate and help users quickly find the highquality course resources, a WEB course resources recommendation system based on WP algorithm was established. In this system, course resources were automatically classified using WP algorithm and a course quality evaluation model based on user implicit evaluation was also set up. The experimental results showed that the method had a very good classification effect and it could effectively narrow the scope of the resources searched by users and improve resource search quality.

A Top-N Algorithm-based Personalized Learning Recommendation System for Digital Library

“…In China, the research on personalized service system began in 1999, taking two dissertations Personalized Active Information Service Based on the Agent Technology and Achieve Personalized Active Information Service Based on Multiagent Evolving Ecosystem Algorithm published by scholars Lu Haiming and Xu Jin Hui as the mark. In recent years, many institutions have increased the research investment on personalized information service technology of library [7][8]. Overall, at present, China has not yet developed a set of perfect library personalized information service system.…”